Bytes Are All You Need: End-to-end Multilingual Speech Recognition and Synthesis with Bytes
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Tara N. Sainath | Yu Zhang | William Chan | Bo Li | Yonghui Wu | Yonghui Wu | Bo Li | William Chan | Yu Zhang
[1] Navdeep Jaitly,et al. Towards End-To-End Speech Recognition with Recurrent Neural Networks , 2014, ICML.
[2] Andrew W. Senior,et al. Fast and accurate recurrent neural network acoustic models for speech recognition , 2015, INTERSPEECH.
[3] A. Backus. Code-switching in conversation: Language, interaction and identity , 2000 .
[4] Yoshua Bengio,et al. End-to-end attention-based large vocabulary speech recognition , 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[5] Oriol Vinyals,et al. Multilingual Language Processing From Bytes , 2015, NAACL.
[6] Yifan Gong,et al. Advancing Acoustic-to-Word CTC Model , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[7] Rohit Prabhavalkar,et al. Exploring architectures, data and units for streaming end-to-end speech recognition with RNN-transducer , 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).
[8] Philip N. Garner,et al. Current trends in multilingual speech processing , 2011 .
[9] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[10] Hagen Soltau,et al. Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition , 2016, INTERSPEECH.
[11] Tanja Schultz,et al. Grapheme based speech recognition , 2003, INTERSPEECH.
[12] Quoc V. Le,et al. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition , 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[13] Tara N. Sainath,et al. Lower Frame Rate Neural Network Acoustic Models , 2016, INTERSPEECH.
[14] Tanja Schultz,et al. A Grapheme Based Speech Recognition System for Russian , 2004 .
[15] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[16] Mark J. F. Gales,et al. Unicode-based graphemic systems for limited resource languages , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[17] Yu Zhang,et al. Latent Sequence Decompositions , 2016, ICLR.
[18] Tara N. Sainath,et al. Multilingual Speech Recognition with a Single End-to-End Model , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[19] Tara N. Sainath,et al. Generation of Large-Scale Simulated Utterances in Virtual Rooms to Train Deep-Neural Networks for Far-Field Speech Recognition in Google Home , 2017, INTERSPEECH.
[20] Marelie H. Davel,et al. Comparing grapheme-based and phoneme-based speech recognition for Afrikaans , 2012 .
[21] Tom Kenter,et al. Byte-Level Machine Reading Across Morphologically Varied Languages , 2018, AAAI.
[22] Erich Elsen,et al. Efficient Neural Audio Synthesis , 2018, ICML.
[23] Yoshua Bengio,et al. Char2Wav: End-to-End Speech Synthesis , 2017, ICLR.
[24] William Chan,et al. On Online Attention-Based Speech Recognition and Joint Mandarin Character-Pinyin Training , 2016, INTERSPEECH.
[25] Hermann Ney,et al. Context-dependent acoustic modeling using graphemes for large vocabulary speech recognition , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[26] Tara N. Sainath,et al. State-of-the-Art Speech Recognition with Sequence-to-Sequence Models , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[27] Hermann Ney,et al. Improved training of end-to-end attention models for speech recognition , 2018, INTERSPEECH.
[28] Samy Bengio,et al. Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model , 2017, ArXiv.
[29] Tara N. Sainath,et al. Multi-Dialect Speech Recognition with a Single Sequence-to-Sequence Model , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[30] Navdeep Jaitly,et al. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).